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Sr Fullstack Python Developer
Location- Dallas, Canada, and Remote
About The Engagement
We are seeking an experienced Full Stack Developer to support the development, enhancement, and deployment of a Databricks/Python-based enterprise application.
The selected resource will be embedded within the delivery team and will take full ownership of development activities — from code changes through to production deployment — while also supporting governance and compliance approvals critical to this environment.
Technology Stack
Languages & Frameworks
• Python, FastAPI, Streamlit, Flask
Data Platform
Databricks
Identity & Access
SSO, OKTA, Active Directory (AD) Groups
Environments
Development (Dev), User Acceptance Testing (UAT), Production (Prod)
Roles & Responsibilities
Application Development & Enhancements
• Design and implement scalable, maintainable solutions using Python, FastAPI, Streamlit, and Flask on the Databricks platform.
• Conduct thorough code reviews, unit testing, and documentation for all development deliverables.
• Collaborate closely with business stakeholders and product owners to translate requirements into technical solutions.
UAT Support
• Facilitate and support User Acceptance Testing (UAT) sessions with business users.
• Gather, analyze, and prioritize feedback from UAT participants.
• Implement iterative code changes and fixes based on UAT findings within agreed timelines.
• Ensure all UAT exit criteria are met before progressing to production deployments.
Deployments & Environment Management
• Execute and manage application deployments across Dev, UAT, and Production environments.
• Maintain deployment runbooks and release notes for each deployment cycle.
• Troubleshoot and resolve deployment issues, ensuring minimal downtime and rollback readiness.
• Coordinate environment refreshes and data synchronization as required.
Security & Access Integration
• Implement and maintain secure access controls using SSO, OKTA, and Active Directory (AD) Groups.
• Ensure role-based access control (RBAC) is correctly configured across all environments.
• Conduct periodic access reviews and remediate any identity/access discrepancies.
• Adhere to the organization''s information security policies and standards throughout all development activities.
Governance & Compliance Support
• Prepare and present technical documentation and artifacts required for Architecture Review Board (ARB) approvals.
• Support the AI Review Board (AIRB) review process with necessary technical justifications and model/data usage documentation.
• Collaborate with the Legal & Compliance team to ensure the application meets all regulatory and policy requirements.
• Track and close all governance action items arising from ARB, AIRB, and Legal & Compliance reviews.
Required Qualifications
• 10+ years of hands-on software development experience in full stack roles.
• Strong proficiency in Python development with a deep understanding of backend and API development patterns.
• Proven experience with FastAPI for building high-performance RESTful APIs.
• Hands-on experience with Streamlit for developing data-driven, interactive web applications.
• Working knowledge of Flask for web application development.
• Demonstrated experience working with Databricks, including notebooks, clusters, and pipeline orchestration.
• Experience implementing SSO/OKTA and Active Directory (AD) Group-based access controls in enterprise applications.
• Proven track record of managing multi-environment deployments (Dev → UAT → Production) with proper release management practices.
• Strong experience conducting and facilitating UAT, including feedback collection and iterative delivery.
• Familiarity with governance and compliance processes, including ARB, AI Review Boards, and Legal & Compliance frameworks.
Preferred Qualifications
• Experience in financial services, banking, or other regulated industries.
• Familiarity with CI/CD pipelines and DevOps practices (e.g., Azure DevOps, GitHub Actions).
• Experience working in Agile/Scrum delivery teams.
• Exposure to AI/ML governance frameworks and responsible AI practices.